GPT-6 Astra
611–620 of 1001 posts
Re: GPT-6 Astra
#612I have nothing to say about the actual model, but unrelated--why do so many of these demos include people buying things autonomously? Even if I did trust an AI to get everything right, it's not like the AI can read my mind. If I was ordering food normally and without AI, I would want more control over the process--looking over the options, prices, thinking about what I really want. People don't know what they really…
One quick example: In fashion, Inditex and Shein have about the same revenue (€39.9bn and $41.8bn in 2025), but Inditex is more than three times as profitable. I don't see how there is a demand for agentic commerce that would remove even more control from the customer when shopping. Part of why we shop is for the experience. For B2B producurement platforms like Alibaba I can see the appeal though.
Re: GPT-6 Astra
#613What's the point of enlarging the screen into a room? In the 1979 Put That There demo, the user at least used his hand to point things. The model is impressive but the demo felt like a step back. Original demo (fun ending) https://www.youtube.com/watch?v=RyBEUyEtxQo
Re: GPT-6 Astra
#614The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…
Re: GPT-6 Astra
#615I want to take a step back: So, this is GPT-6 -- the natural number version release comparable to GPT-4 and GPT-5 from the past few years. The ARC-AGI-3 score is obviously impressive at 99.9% (we'll need to wait for more details on how they used the response API harness on GPT-6 Astra, wrt reasoning retention and compaction), but every other benchmarks seems to be a relatively modest improvement, comparable with any…
> If this is truly AGI (subject to one's definition of AGI still) Scoring well in a benchmark that's called AGI does not make an LLM AGI.
Re: GPT-6 Astra
#616It's been over an hour, Simon! Where's the Pelican?
Re: GPT-6 Astra
#617The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…
AGI to me is reached once the intelligence is self motivated, i.e. it doesn't rely on us prompting it into action. I don't see how LLMs will ever get to that stage.
Re: GPT-6 Astra
#618GPT 6 Astra benchmarks https://cdn.thenewstack.io/media/2026/09/358eb84a-screenshot... Performance is significantly higher than Fable 5.1 Source: https://thenewstack.io/openai-gpt6-astra-benchmarks/